At a Glance
- Tasks: Lead complex analytics projects and create impactful data visualisations.
- Company: Join LexisNexis, a global leader in data and analytics.
- Benefits: Enjoy generous holidays, health perks, and flexible working hours.
- Other info: Great career growth opportunities and a supportive work culture.
- Why this job: Make a real impact with data-driven insights and innovative tools.
- Qualifications: Experience in data analytics, SQL, Python, and visualisation tools required.
The predicted salary is between 36000 - 60000 £ per year.
About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.
About the role: The senior data analyst consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data-driven decisions. This role develops advanced insights and recommendations within their domain and uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences. The Sr. Data Analyst I independently leads high-complexity analytics projects and mentors junior analysts.
Responsibilities
- Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures.
- Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives.
- Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets).
- Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes.
- Create clear, compelling data visualizations and narratives tailored to the target audience.
- Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines.
- Serve as a subject matter expert within an assigned domain and coach/mentor junior team members.
- Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation.
- Leverage approved AI tools to accelerate analysis and deliverables while maintaining accountability for accuracy and quality.
- Develop data products that meet the data consumer where they are in their data literacy journey.
Requirements
- Bachelor’s or Master’s degree in Data Analytics, Data Science, Mathematics, or a related field; or equivalent practical experience.
- Significant experience in analytics, reporting, or data science-adjacent roles.
- Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques.
- Experience applying intermediate statistics to business problems.
- Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis.
- Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences.
- Familiarity with advanced analytics/data platforms.
- Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers.
- Ability to craft effective prompts, iterate toward higher-quality outputs, and incorporate domain context and constraints.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Wellbeing programs.
- Life assurance.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Optional Dental Insurance.
- Maternity, paternity and shared parental leave.
- Employee Assistance Programme.
- Access to emergency care for both the elderly and children.
- RECARES days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources.
- Access to employee discounts scheme via Perks at Work.
About the Business
LexisNexis Legal & Professional are a leading global provider of legal and regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions.
Senior Data Analyst in Slough employer: LexisNexis
At LexisNexis, we pride ourselves on being an exceptional employer, offering a vibrant work culture that prioritises employee wellbeing and professional growth. Our commitment to flexible working hours, generous benefits, and extensive learning resources ensures that our Senior Data Analysts can thrive both personally and professionally while contributing to innovative data solutions in a global environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to current employees at LexisNexis on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Senior Data Analyst role.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best data visualisations and analytics projects. When you get the chance to chat with hiring managers, share these examples to demonstrate your expertise and creativity.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing complex data structures and statistical methods. You might be asked to explain your thought process during interviews, so being able to articulate your approach is key.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the LexisNexis team.
We think you need these skills to ace Senior Data Analyst in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with SQL, Python, and data visualisation tools like Tableau or Power BI. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of how you've used data to drive decisions or solve complex problems. We love seeing real-world applications of your analytical prowess.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy to do!
How to prepare for a job interview at LexisNexis
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific data sets you've worked with. Be prepared to explain how you transformed and analysed this data, as well as the insights you derived from it. This will show your expertise and ability to handle complex data structures.
✨Master the Tools of the Trade
Familiarise yourself with SQL, Python, and any data visualisation tools like Tableau or Power BI. During the interview, highlight your experience using these tools to solve business problems. You might even want to prepare a mini case study to demonstrate your skills in action.
✨Communicate Clearly and Effectively
Practice explaining your analytical findings in a way that’s easy for non-technical stakeholders to understand. Use clear visuals or narratives to convey your points. This will showcase your ability to tailor your communication style to different audiences, which is crucial for a Senior Data Analyst role.
✨Show Your Project Management Skills
Be ready to discuss how you manage multiple analytics projects simultaneously. Share examples of how you structure your work, set deadlines, and communicate progress. This will demonstrate your strong project execution skills and your ability to lead high-complexity analytics projects independently.
